Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Visual scanning, pattern recognition and decision-making in pulmonary nodule detection

H L Kundel, C F Nodine, D Carmody

    Investigative Radiology
    |May 1, 1978
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Patients with KCNJ11-related diabetes frequently have neuropsychological impairments compared with sibling controls.

    Diabetic medicine : a journal of the British Diabetic Association·2016
    Same author

    Successful rhIGF1 treatment for over 5 years in a patient with severe insulin resistance due to homozygous insulin receptor mutation.

    Diabetic medicine : a journal of the British Diabetic Association·2015
    Same author

    Adolescent non-adherence reveals a genetic cause for diabetes.

    Diabetic medicine : a journal of the British Diabetic Association·2014
    Same author

    Phenotypic heterogeneity in monogenic diabetes: the clinical and diagnostic utility of a gene panel-based next-generation sequencing approach.

    Molecular genetics and metabolism·2014
    Same author

    Platelet reactivity in type 2 diabetes mellitus: a comparative analysis with survivors of myocardial infarction and the role of glycaemic control.

    Platelets·2011
    Same author

    Intracranial Schistosoma mekongi infection.

    Irish medical journal·2009

    This study analyzed eye movements during pulmonary nodule detection in medical films. Prolonged fixation times suggest intensive data processing, leading to a four-step nodule detection model and error classification.

    Area of Science:

    • Medical imaging analysis
    • Human-computer interaction
    • Radiology

    Background:

    • Pulmonary nodules are critical indicators of lung disease.
    • Accurate detection of pulmonary nodules in medical imaging is essential for patient diagnosis and treatment.
    • Understanding the visual search process can improve diagnostic accuracy.

    Purpose of the Study:

    • To analyze eye movements during the search for pulmonary nodules in medical films.
    • To develop a model for nodule detection based on visual processing.
    • To classify false-negative errors in nodule detection.

    Main Methods:

    • Recorded eye movements of four subjects searching 60 medical films (24 normal, 36 abnormal for nodules).
    • Analyzed error rates, scanning patterns, and fixation dwell times on normal and nodule-containing areas.

    Related Experiment Videos

  • Developed a four-step nodule detection model: orientation, scanning, pattern recognition, and decision-making.

    • Main Results:

    • Prolonged dwell time on film areas was assumed to indicate intensive visual data processing.
    • False-negative errors were categorized into scanning (30%), recognition (25%), and decision-making (45%) types.
    • The study provides insights into the cognitive processes involved in radiological image interpretation.

    Conclusions:

    • A model for nodule detection was developed based on visual search patterns and processing intensity.
    • Decision-making errors constituted the largest proportion of false-negative findings in pulmonary nodule detection.
    • Further research can refine this model to enhance diagnostic performance in radiology.